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Optimal transport theory has recently reemerged as a vastly resourceful field of mathematics with elegant applications across physics and computer science. Harnessing methods from geometry processing, we report on the efficient…

宇宙学与河外天体物理 · 物理学 2022-06-01 Sebastian von Hausegger , Bruno Lévy , Roya Mohayaee

Reconstructing an estimate of linear Baryon Acoustic Oscillations (BAO) from an evolved galaxy field has become a standard technique in recent analyses. By partially removing non-linear damping caused by bulk motions, the real-space BAO…

宇宙学与河外天体物理 · 物理学 2015-02-26 Angela Burden , Will J. Percival , Marc Manera , Antonio J. Cuesta , Mariana Vargas Magana , Shirley Ho

Gravitational non-linear evolution induces a shift in the position of the baryon acoustic oscillations (BAO) peak together with a damping and broadening of its shape that bias and degrades the accuracy with which the position of the peak…

宇宙学与河外天体物理 · 物理学 2017-09-12 Andrej Obuljen , Francisco Villaescusa-Navarro , Emanuele Castorina , Matteo Viel

The Baryon Acoustic Oscillations (BAO) in the large-scale structure of the universe leave a distinct peak in the two-point correlation function of the matter distribution. That acoustic peak is smeared and shifted by bulk flows and…

宇宙学与河外天体物理 · 物理学 2015-06-04 Svetlin Tassev , Matias Zaldarriaga

The density field reconstruction technique, which was developed to partially reverse the nonlinear degradation of the Baryon Acoustic Oscillation (BAO) feature in the galaxy redshift surveys, has been successful in substantially improving…

宇宙学与河外天体物理 · 物理学 2016-07-27 Hee-Jong Seo , Florian Beutler , Ashley J. Ross , Shun Saito

Precise measurements of the baryon acoustic oscillation (BAO) scale as a standard ruler in the clustering pattern of large-scale structure is a central goal of current and future galaxy surveys. The BAO peak may be sharpened using the…

宇宙学与河外天体物理 · 物理学 2015-10-28 Ixandra Achitouv , Chris Blake

The cosmic structure formed from Baryon Acoustic Oscillations (BAO) in the early universe is imprinted in the galaxy distribution observable in large scale surveys, and is used as a standard ruler in contemporary cosmology. BAO are…

宇宙学与河外天体物理 · 物理学 2021-04-07 Z. Brown , G. Mishtaku , R. Demina , Y. Liu , C. Popik

We present a hybrid method for reconstructing the primordial density from late-time halos and galaxies. Our approach involves two steps: (1) apply standard Baryon Acoustic Oscillation (BAO) reconstruction to recover the large-scale features…

宇宙学与河外天体物理 · 物理学 2025-04-03 Liam Parker , Adrian E. Bayer , Uros Seljak

A new fully non-linear reconstruction algorithm for the accurate recovery of the Baryonic Acoustic Oscillations (BAO) scale in two-point correlation functions is proposed, based on the least-action principle and extending the Fast Action…

宇宙学与河外天体物理 · 物理学 2019-01-30 E. Sarpa , C. Schimd , E. Branchini , S. Matarrese

As galaxy surveys begin to measure the imprint of baryonic acoustic oscillations (BAO) on large-scale structure at the sub-percent level, reconstruction techniques that reduce the contamination from nonlinear clustering become increasingly…

宇宙学与河外天体物理 · 物理学 2015-12-24 Marcel Schmittfull , Yu Feng , Florian Beutler , Blake Sherwin , Man Yat Chu

Baryon acoustic oscillations (BAO) underpin the key cosmological results from modern spectroscopic galaxy surveys, but nonlinear gravitational evolution limits the precision achievable with traditional analysis methods. To overcome this, we…

宇宙学与河外天体物理 · 物理学 2026-03-18 Adrian E. Bayer , Liam Parker , David Valcin , Shi-Fan Chen , Chirag Modi , Uros Seljak

We develop and apply a new framework for reconstructing the ionization history during the epoch of recombination with combinations of cosmic microwave background (CMB), baryon acoustic oscillation (BAO) and supernova data. We find a wide…

宇宙学与河外天体物理 · 物理学 2024-08-15 Gabriel P. Lynch , Lloyd Knox , Jens Chluba

The baryon acoustic oscillations (BAO) have proven to be an invaluable tool in constraining the expansion history of the Universe at late times and are characterized by the comoving sound horizon at the baryon drag epoch…

宇宙学与河外天体物理 · 物理学 2021-08-27 Andoni Aizpuru , Rubén Arjona , Savvas Nesseris

The process of density field reconstruction enhances the statistical power of distance scale measurements using baryon acoustic oscillations (BAO). During this process a fiducial cosmology is assumed in order to convert sky coordinates and…

宇宙学与河外天体物理 · 物理学 2019-02-27 Blake D. Sherwin , Martin White

We present results from fitting the baryon acoustic oscillation (BAO) signal in the correlation function obtained from the first application of reconstruction to a galaxy redshift survey, namely, the Sloan Digital Sky Survey (SDSS) Data…

宇宙学与河外天体物理 · 物理学 2015-06-04 Xiaoying Xu , Nikhil Padmanabhan , Daniel J. Eisenstein , Kushal T. Mehta , Antonio J. Cuesta

Future Baryon Acoustic Oscillation surveys aim at observing galaxy clustering over a wide range of redshift and galaxy populations at great precision, reaching tenths of a percent, in order to detect any deviation of dark energy from the…

宇宙学与河外天体物理 · 物理学 2018-05-31 Zhejie Ding , Hee-Jong Seo , Zvonimir Vlah , Yu Feng , Marcel Schmittfull , Florian Beutler

The reconstruction of the initial conditions of the Universe is an important topic in cosmology, particularly in the context of sharpening the measurement of the baryon acoustic oscillation (BAO) peak. Nonlinear reconstruction algorithms…

宇宙学与河外天体物理 · 物理学 2018-12-19 Jack Birkin , Baojiu Li , Marius Cautun , Yanlong Shi

We develop a methodology to optimise the measurement of Baryon Acoustic Oscillation (BAO) from a given galaxy sample. In our previous work, we demonstrated that one can measure BAO from tracers in under-dense regions (voids). In this study,…

We apply the reconstruction technique to the clustering of galaxies from the SDSS DR7 LRG sample, sharpening the baryon acoustic oscillation (BAO) feature and achieving a 1.9% measurement of the distance to z=0.35. This is the first…

宇宙学与河外天体物理 · 物理学 2015-06-04 Nikhil Padmanabhan , Xiaoying Xu , Daniel J. Eisenstein , Richard Scalzo , Antonio J. Cuesta , Kushal T. Mehta , Eyal Kazin
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